Triple

T3335965
Position Surface form Disambiguated ID Type / Status
Subject Pest E70139 entity
Predicate urbanDivision P37938 FINISHED
Object comprises multiple districts of Budapest numbered V–XXIII (partly) LITERAL FINISHED

How this triple was built (2 steps)

Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.

NER Named-entity recognition gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: comprises multiple districts of Budapest numbered V–XXIII (partly) | Statement: [Pest, urbanDivision, comprises multiple districts of Budapest numbered V–XXIII (partly)]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: urbanDivision
Context triple: [Pest, urbanDivision, comprises multiple districts of Budapest numbered V–XXIII (partly)]
  • A. urbanDistrictType
    Indicates the classification of an urban district according to its specific type or category within an administrative or planning system.
  • B. cityDistrictType
    Indicates the type or classification of a city district within an urban or administrative structure.
  • C. regionOfCity chosen
    Indicates that a specified area or district is a constituent part or subdivision of a particular city.
  • D. targetCityDistrict
    Indicates that one entity is a specific city district that serves as the target or destination in relation to another entity.
  • E. boroughOrCommunityArea
    Indicates that one place is a borough or community area subdivision within the jurisdiction or boundaries of another place.
  • F. None of above.

Provenance (3 batches)

The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.

Step Stage Batch ID Status When
creating Elicitation batch_69ad85a24f208190bcf83131bfed3521 completed March 8, 2026, 2:20 p.m.
NER Named-entity recognition batch_69adb197bd0481909a5cf7eab386e176 completed March 8, 2026, 5:27 p.m.
PD Predicate disambiguation batch_69ada42c2ba8819091136805ce17b39d completed March 8, 2026, 4:30 p.m.
Created at: March 8, 2026, 3:12 p.m.